Traditional generative AI solutions are based on chatbots that require explicit human inputs to generate responses. Such a process, while incredibly useful, can be slow, error prone, and expensive. Over the past year, AI model capabilities have progressed to support autonomous systems that are capable of performing tasks and making decisions with very minimal human intervention. These systems continuously learn by processing real-time streams of multimodal data, leading to more intelligent insights and ultra-efficient business operations.